Despite its importance to biodiversity and ecosystem function, patterns and drivers of regional scale variation in forest structure and development are poorly understood. We characterize structural variation, create a hierarchical classification of forest structure, and develop an empirically based framework for conceptualizing structural development from 11,091 plots across 25 million...
Work-related musculoskeletal disorders (WMSDs) are prevalent among surgeons due to a variety of risk factors. Various subjective tools have been used to investigate the associations between these risk factors and their contributions to the development of WMSDs. This study aimed to provide a summary of a collection of popular subjective...
Uses for materials with a large surface area and high porosity have grown sig-nificantly in recent years. Porous materials have found usage in applications such as separation, gas storage, sensing, purification and more, prompting researchers to find and discover numerous new porous materials to suit a specific purpose. Hundreds of...
For the last 30 years, the population of Mexico has grappled with overweight, obesity, and associated chronic diseases, such as type-2 diabetes and hypertension. To standardize care among healthcare providers and dietitians, an official nutritional guideline was published in the early 2000s, which included a non-modifiable food-based dietary guideline in...
We evaluated the regeneration behavior and early growth rates of 10 non-pioneer canopy tree species in medium-height, semi-evergreen dry tropical forest in Quintana Roo, Mexico. These species provide timber and non-timber forest products for local communities and include evergreen and deciduous species with varied dispersal mechanisms. The species were Coccoloba...
Software systems are becoming an essential part of the lives of both individuals and organizations, and as a consequence, these systems are getting bigger and more complex. Because of this, the tasks of maintaining the quality in these complex software systems are becoming increasingly difficult. Furthermore, these systems are subject...
Multiagent learning offers a rich framework to address challenging real-world problems such as remote exploration and healthcare coordination, which require autonomous agents to express elaborate interactions. To be effective in such systems, agents must collectively reason about and pursue high-level, long-term, and possibly nebulous objectives while adapting their strategy to...